Computer Vision

Delivered May 14th, 2019. Contributors: Philip

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Part

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Computer Vision

In this research brief, we started our research by looking for a pre-compiled list of computer vision applications. Having found one, we looked at each data point and made sure that each fully answered our research criteria. Below is an overview of our findings.

Methodology

the initial search conducted yielded data published by different database on computer vision applications.

After thoroughly checking through all the data provided, we selected our data points based on the research criteria requested for. We choose only the application that parts of its data is from public information.

COMPUTER VISION IN HEALTHCARE

One of the most important uses of computer vision is in the health sector. Computer vision is already been used to identify and diagnose conditions and illnesses. Arguments are already been made on which one is better, computer vision or sensors. However, it has been proven already that the two systems can be used together to make serious lifesaving medical interventions. An example of this usage is the use of the Gauss Surgical developed a solution that monitors blood loss in real time. The sensors detect the amount of blood located on surgical sponges which are then processed by machine learning algorithms which make a determination how much blood was lost. This technology is been used currently in surfing surgical operations and Caesarian deliveries. This technology can save around $10 billion in unnecessary blood transfusions every year.

COMPUTER VISION APPLICATION IN REAL-TIME SPORTS TRACKING

The advent of computer vision has improved sports in the area of statistical analysis, player performance and ratings. Computer vision is applied by performance analysts to compile format data in sports. Over the years, computer vision has been introduced in sports to reduced human errors of referees or officials, improve player tracking, semantic analysis, and movement analysis in modern football.

COMPUTER VISION APPLICATION IN MANUFACTURING

Computer vision application is helping manufacturers run more safely, intelligently and effectively in a variety of ways. Computer vision is used to monitor equipment to intervene before a breakdown could occur. This type of maintenance using a computer vision application is called Predictive maintenance. Computer vision also helps to monitor and ensure that product quality is maintained at all times. Defective products are also reduced with computer vision.

CONCLUSION

the adoption of computer vision is not the same across the different sectors. However, everything that is available today still relies on humans to supervise, analyze, offer insights and make a decision and take action. Even though certain companies are developing technology that would allow for self-driving cars, the reported fatality rates demonstrate that it still some time away from being commercially available. We are seeing the same in other industries as well where computer science is playing a big role, but the human factor is still necessary as well. As this technology continues to evolve and research learn to fine tune it, soon or later, it will replace humans in pretty much every aspect.